Saildrone

Saildrone

Staff Software Engineer, Machine Learning

Alameda, California, United States · Staff+

Sponsorship not specified$215k-$270kDetected 6 days ago
PythonDistributed SystemsFull-Stack DevelopmentCI/CDLinuxMachine LearningTensorFlowPyTorchComputer VisionMLOpsSalesBusiness DevelopmentRoboticsElectrical EngineeringSensorsLeadershipMentoring

About the role

  • Saildrone is seeking a Staff Machine Learning Engineer to join our team.
  • Reporting directly to a Senior Member of the Machine Learning team, you will play a critical role in designing, deploying, and scaling machine learning systems that enable autonomy and real-time intelligence across Saildrone's global fleet.
  • You will expand Saildrone's model portfolio and ensure reliable, high-performance inference on edge hardware in complex maritime environments.

Responsibilities

  • Design and deploy production-grade ML models for real-time perception to detect, classify, and track high-value targets.
  • Own the full ML lifecycle architecture, ensuring models run reliably on NVIDIA Jetson/AGX platforms.
  • Drive the intelligence that advances autonomous decision-making and behavior for a growing fleet of robotic systems.
  • Lead the integration of Saildrone's unique sensor suite-including cameras, radar, lidar, hydrophones, and bathymetric sensors-to maintain situational awareness in complex, resource-constrained environments.
  • At Saildrone, we're building operational capability that matters-and that requires people who can do their best work over the long term.

Requirements

  • BS or MS in Computer Science, Electrical Engineering, or a related technical field, as required for the design of complex autonomous systems.
  • Track record of leading cross-functional technical initiatives in autonomy, robotics, defense, or large-scale distributed systems
  • Experience making system-level architecture and modeling decisions under high ambiguity, balancing performance, reliability, and compute constraints in real-world deployed ML systems
  • Working knowledge of CI/CD best practices, Linux/Unix environments, and MLOps pipelines relevant to maintaining production-grade software at scale.
  • 10+ years of experience in Machine Learning or Software Engineering, performing work related to the full ML lifecycle, from cloud-based training to edge deployment.
  • Serve as a technical authority for edge AI systems operating in mission-critical environments.
  • Demonstrated proficiency in Python, ML frameworks (PyTorch/TensorFlow), and runtime libraries (TensorRT) required to deploy performant computer vision and sensor fusion models.
  • Track record of communicating technical vision, project roadmaps, and model performance metrics to peers, senior leadership, and cross-functional partners.
  • Ability to work effectively in remote or hybrid environments, including supporting a fleet that operates 24/7/365 in harsh and hostile maritime conditions.
  • Demonstrated experience mentoring senior and junior engineers and leading end-to-end technical projects from initial concept to mission-ready fielding.

Skills

  • Architect and scale cloud-based training pipelines and CI/CD workflows.

Compensation

  • $215,000 - $270,000 USD

Benefits

  • Our comprehensive benefits package is designed to support you and your family while you contribute to a mission with lasting significance.
  • Generous Time Off: Competitive Paid Time Off (PTO) accrual plus a robust annual holiday schedule and paid sick leave ensure you can rest, reset, and sustain performance over time.
  • Comprehensive Health Coverage: Premium, multi-tier Medical, Dental, and Vision plans with significant company contributions for employees and dependents-providing security and peace of mind.
  • Shared Ownership in the Mission: Equity grants are a core part of our compensation, allowing you to participate in the long-term value you help create through meaningful, operational work.
  • Retirement Savings: Access to a 401(k) retirement plan with flexible pre-tax and Roth payroll contribution options supports long-term financial planning.

Company info

  • The Machine Learning team is responsible for developing and deploying models that power perception, autonomy, and intelligence across Saildrone's autonomous surface vehicles.
  • We focus on building scalable, high-performance ML systems that transform multimodal sensor data into actionable insights, enabling persistent maritime awareness in national security and defense environments.
  • Production & Mission Impact: Design and deploy production-grade ML models for real-time perception to detect, classify, and track high-value targets. Your work directly enables USVs to operate 24/7/365 in harsh, remote, and hostile maritime environments.
  • Edge Architecture & Autonomy: Own the full ML lifecycle architecture, ensuring models run reliably on NVIDIA Jetson/AGX platforms. Drive the intelligence that advances autonomous decision-making and behavior for a growing fleet of robotic systems.
  • Multi-Modal Sensor Fusion: Lead the integration of Saildrone's unique sensor suite-including cameras, radar, lidar, hydrophones, and bathymetric sensors-to maintain situational awareness in complex, resource-constrained environments.
  • Dataset & Robustness Engineering: Drive the rapid expansion of proprietary maritime datasets and develop rigorous evaluation frameworks to ensure model performance remains stable across variable sea states and extreme weather.
  • Strategic ML Ops: Architect and scale cloud-based training pipelines and CI/CD workflows. You will resolve technical ambiguity to ensure the "full stack" from data ingestion to edge deployment is performant and maintainable.
  • System-Wide Optimization: Lead technical decisions for onboard compute efficiency using runtime libraries like TensorRT, ensuring that rapid model iterations enhance rather than disrupt the overall software stack stability.
  • Technical Leadership & Vision: Direct large-scale ML projects from concept to completion. Mentor junior and senior engineers while shaping the technical roadmap for the global ML organization. Set engineering standards and influence architectural direction across multiple ML and autonomy teams
  • Cross-Functional Integration: Serve as a technical leader across multiple engineering organizations -from Perception to Frontend-to ensure ML-driven insights are actionable for mission pilots and critical to disrupting illegal maritime activity.

Equal opportunity

  • Saildrone is an equal opportunity employer that is committed to diversity and inclusion in the workplace.
  • equal opportunity employer that is committed to diversity and inclusion in the workplace.
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This listing is sourced directly from Saildrone's careers page and normalized into a canonical job model.